diff --git a/paddle_fl/core/master/job_generator.py b/paddle_fl/core/master/job_generator.py
index e5390b7e9d3da3c02ac8f59d528fbe93dbda4592..e2a5e482bbac3e5663de9a0f6751682fbfdba65a 100644
--- a/paddle_fl/core/master/job_generator.py
+++ b/paddle_fl/core/master/job_generator.py
@@ -214,6 +214,9 @@ class JobGenerator(object):
                 current_para = line[:-1]
                 para_list.append(current_para)
 
+        with open(program_input + '/loss_name', 'rb') as fin:
+            loss_name = fin.read()
+
         for item in para_list:
             para = new_main.global_block().var(item)
             para.regularizer = None
@@ -224,7 +227,7 @@ class JobGenerator(object):
         input = None
         label = None
         for var in new_main.list_vars():
-            if var.name == "loss.tmp_0":
+            if var.name == loss_name:
                 loss = var
             if var.name == 'input':
                 input = var
diff --git a/paddle_fl/examples/generate_job_from_program/program_saver.py b/paddle_fl/examples/generate_job_from_program/program_saver.py
index 91ad1cdd37985827439d72cdf084bc29245f1d90..9c609e01c3c970f52983f47dcd739e1d63aaa5aa 100644
--- a/paddle_fl/examples/generate_job_from_program/program_saver.py
+++ b/paddle_fl/examples/generate_job_from_program/program_saver.py
@@ -24,7 +24,6 @@ sum_cost = fluid.layers.cross_entropy(input=predict, label=label)
 accuracy = fluid.layers.accuracy(input=predict, label=label)
 avg_cost = fluid.layers.mean(sum_cost, name="loss")
 startup_program = fluid.default_startup_program()
-
 place = fluid.CPUPlace()
 exe = fluid.Executor(place)
 exe.run(startup_program)
@@ -47,6 +46,8 @@ def save_program(program_path):
         fout.write(startup_program_str)
     with open(program_path + '/main_program', "wb") as fout:
         fout.write(main_program_str)
+    with open(program_path + '/loss_name', 'wb') as fout:
+        fout.write(avg_cost.name)
 
 
 program_path = './load_file'